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Production of Porous Silica Microparticles by Membrane Emulsification

Overview of attention for article published in Langmuir, November 2011
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Title
Production of Porous Silica Microparticles by Membrane Emulsification
Published in
Langmuir, November 2011
DOI 10.1021/la202974b
Pubmed ID
Authors

Marijana M. Dragosavac, Goran T. Vladisavljević, Richard G. Holdich, Michael T. Stillwell

Abstract

A method for the production of near-monodispersed spherical silica particles with controllable porosity based on the formation of uniform emulsion droplets using membrane emulsification is described. A hydrophobic metal membrane with a 15 μm pore size and 200 μm pore spacing was used to produce near-monodispersed droplets, with a mean size that could be controlled between 65 and 240 μm containing acidified sodium silicate solution (with 4 and 6 wt % SiO(2)) in kerosene. After drying and shrinking, the final silica particles had a mean size in the range between 30 and 70 μm. The coefficient of variation for both the droplets and the particles did not exceed 35%. The most uniform particles had a mean diameter of 40 μm and coefficient of variation of 17%. By altering the pH of the sodium silicate solution and aging the gel particles in water or acetone, the internal structure of the silica particles was successfully modified, and both micro- and mesoporous near-monodispersed spherical particles were produced with an average internal pore size between 1 and 6 nm and an average surface area between 360 and 750 m(2) g(-1). A material balance and particle size analysis provided identical values for the internal voidage of the particles, when compared to the voidage as determined by BET analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
France 1 1%
Sweden 1 1%
United Kingdom 1 1%
Belgium 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Student > Bachelor 10 15%
Researcher 8 12%
Student > Master 8 12%
Student > Postgraduate 5 7%
Other 8 12%
Unknown 10 15%
Readers by discipline Count As %
Engineering 16 24%
Chemistry 15 22%
Chemical Engineering 8 12%
Materials Science 6 9%
Agricultural and Biological Sciences 5 7%
Other 6 9%
Unknown 12 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 February 2014.
All research outputs
#15,239,825
of 22,659,164 outputs
Outputs from Langmuir
#10,532
of 13,890 outputs
Outputs of similar age
#162,236
of 239,722 outputs
Outputs of similar age from Langmuir
#126
of 168 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,890 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.